AimsPCA Class Reference

#include <aims/math/pca.h>

Collaboration diagram for AimsPCA:

Public Member Functions
	AimsPCA (int significantNumberOfVp, bool normalize=false, bool center=true)
	~AimsPCA ()
template<class T >
void	doIt (const AimsData< T > &individuals)
template<class T >
void	doIt (const std::list< Point3d > &selectedPoints, const AimsData< T > &data)
float	noiseVariance (float &meanNorm)
double	totalVariance (float &meanNorm) const
float	relativeUnreconstructedVariance (float &meanNorm)
void	setSignificantNumberOfVp (int significantNumberOfVp)
void	setMinimalInertia (float inertiaLimit)
float	minimalInertia () const
float	significantNumberOfVp () const
float	significantInertia ()
float	noiseInertia ()
float	unreconstructedVariance ()
float	relativeUnreconstructedVariance ()
AimsData< float >	projection (const AimsData< float > &individual)
float	reconstructionError2 (const AimsData< float > &individual)
const AimsData< float > &	projectionMatrix ()
const AimsData< float > &	reconstructionErrorMatrix ()
const std::vector< float > &	eigenValues () const
const AimsData< float > &	eigenVectors () const
AimsData< float >	selectedEigenVectors () const
const std::vector< float > &	mean () const
const std::vector< float > &	var () const
bool	valid () const

Protected Member Functions
void	computeErrorAndProjMatrices ()

Protected Attributes
bool	_validPca
bool	_computed
bool	_matricesComputed
bool	_center
bool	_normalize
std::vector< float >	_mean
std::vector< float >	_var
std::vector< float >	_projectionVector
aims::AimsFastAllocationData< float >	_projectionMatrix
aims::AimsFastAllocationData< float >	_errorMatrix
std::vector< float >	_eigenValues
aims::AimsFastAllocationData< float >	_eigenVectors
aims::AimsFastAllocationData< float >	_selectedEigenVectors
aims::AimsFastAllocationData< float >	_selectedEigenVectorsTr
int	_significantNumberOfVp
float	_minimalInertia

Detailed Description

Definition at line 43 of file pca.h.

Constructor & Destructor Documentation

AimsPCA()

AimsPCA::AimsPCA	(	int	significantNumberOfVp,
		bool	normalize = false,
		bool	center = true
	)

~AimsPCA()

AimsPCA::~AimsPCA ( )

inline

Definition at line 47 of file pca.h.

References doIt(), eigenValues(), eigenVectors(), mean(), minimalInertia(), noiseInertia(), noiseVariance(), projection(), projectionMatrix(), reconstructionError2(), reconstructionErrorMatrix(), relativeUnreconstructedVariance(), selectedEigenVectors(), setMinimalInertia(), setSignificantNumberOfVp(), significantInertia(), significantNumberOfVp(), totalVariance(), unreconstructedVariance(), and var().

Member Function Documentation

computeErrorAndProjMatrices()

void AimsPCA::computeErrorAndProjMatrices ( )

protected

Referenced by valid().

doIt() [1/2]

template<typename T >

void AimsPCA::doIt

(

const AimsData< T > &

individuals

)

Definition at line 59 of file pca_d.h.

References _center, _computed, _eigenValues, _eigenVectors, _matricesComputed, _mean, _normalize, _validPca, _var, AimsData< T >::dimX(), AimsData< T >::dimY(), AimsData< T >::dimZ(), AimsSVD< T >::doit(), ForEach2d, AimsSVD< T >::setReturnType(), and AimsSVD< T >::sort().

Referenced by doIt(), and ~AimsPCA().

doIt() [2/2]

template<typename T >

void AimsPCA::doIt	(	const std::list< Point3d > &	selectedPoints,
		const AimsData< T > &	data
	)

Definition at line 42 of file pca_d.h.

References AimsData< T >::dimT(), doIt(), and aims::meshdistance::max().

eigenValues()

const std::vector<float>& AimsPCA::eigenValues

(

)

const

Referenced by ~AimsPCA().

eigenVectors()

const AimsData<float>& AimsPCA::eigenVectors

(

)

const

Referenced by ~AimsPCA().

mean()

const std::vector<float>& AimsPCA::mean

(

)

const

Referenced by ~AimsPCA().

minimalInertia()

float AimsPCA::minimalInertia

(

)

const

Referenced by ~AimsPCA().

noiseInertia()

float AimsPCA::noiseInertia

(

)

Referenced by ~AimsPCA().

noiseVariance()

float AimsPCA::noiseVariance

(

float &

meanNorm

)

Referenced by ~AimsPCA().

projection()

AimsData<float> AimsPCA::projection

(

const AimsData< float > &

individual

)

Referenced by ~AimsPCA().

projectionMatrix()

const AimsData<float>& AimsPCA::projectionMatrix

(

)

Referenced by ~AimsPCA().

reconstructionError2()

float AimsPCA::reconstructionError2

(

const AimsData< float > &

individual

)

Referenced by ~AimsPCA().

reconstructionErrorMatrix()

const AimsData<float>& AimsPCA::reconstructionErrorMatrix

(

)

Referenced by ~AimsPCA().

relativeUnreconstructedVariance() [1/2]

float AimsPCA::relativeUnreconstructedVariance

(

float &

meanNorm

)

relativeUnreconstructedVariance() [2/2]

float AimsPCA::relativeUnreconstructedVariance

(

)

Referenced by ~AimsPCA().

selectedEigenVectors()

AimsData<float> AimsPCA::selectedEigenVectors

(

)

const

Referenced by ~AimsPCA().

setMinimalInertia()

void AimsPCA::setMinimalInertia

(

float

inertiaLimit

)

Referenced by ~AimsPCA().

setSignificantNumberOfVp()

void AimsPCA::setSignificantNumberOfVp

(

int

significantNumberOfVp

)

Referenced by ~AimsPCA().

significantInertia()

float AimsPCA::significantInertia

(

)

Referenced by ~AimsPCA().

significantNumberOfVp()

float AimsPCA::significantNumberOfVp

(

)

const

Referenced by ~AimsPCA().

totalVariance()

double AimsPCA::totalVariance

(

float &

meanNorm

)

const

Referenced by ~AimsPCA().

unreconstructedVariance()

float AimsPCA::unreconstructedVariance

(

)

Referenced by ~AimsPCA().

valid()

bool AimsPCA::valid ( ) const

inline

Definition at line 83 of file pca.h.

References _validPca, and computeErrorAndProjMatrices().

var()

const std::vector<float>& AimsPCA::var

(

)

const

Referenced by ~AimsPCA().

Member Data Documentation

_center

bool AimsPCA::_center

protected

Definition at line 90 of file pca.h.

Referenced by doIt().

_computed

bool AimsPCA::_computed

protected

Definition at line 88 of file pca.h.

Referenced by doIt().

_eigenValues

std::vector<float> AimsPCA::_eigenValues

protected

Definition at line 98 of file pca.h.

Referenced by doIt().

_eigenVectors

aims::AimsFastAllocationData<float> AimsPCA::_eigenVectors

protected

Definition at line 99 of file pca.h.

Referenced by doIt().

_errorMatrix

aims::AimsFastAllocationData<float> AimsPCA::_errorMatrix

protected

Definition at line 97 of file pca.h.

_matricesComputed

bool AimsPCA::_matricesComputed

protected

Definition at line 89 of file pca.h.

Referenced by doIt().

_mean

std::vector<float> AimsPCA::_mean

protected

Definition at line 92 of file pca.h.

Referenced by doIt().

_minimalInertia

float AimsPCA::_minimalInertia

protected

Definition at line 104 of file pca.h.

_normalize

bool AimsPCA::_normalize

protected

Definition at line 91 of file pca.h.

Referenced by doIt().

_projectionMatrix

aims::AimsFastAllocationData<float> AimsPCA::_projectionMatrix

protected

Definition at line 96 of file pca.h.

_projectionVector

std::vector<float> AimsPCA::_projectionVector

protected

Definition at line 95 of file pca.h.

_selectedEigenVectors

aims::AimsFastAllocationData<float> AimsPCA::_selectedEigenVectors

protected

Definition at line 100 of file pca.h.

_selectedEigenVectorsTr

aims::AimsFastAllocationData<float> AimsPCA::_selectedEigenVectorsTr

protected

Definition at line 101 of file pca.h.

_significantNumberOfVp

int AimsPCA::_significantNumberOfVp

protected

Definition at line 103 of file pca.h.

_validPca

bool AimsPCA::_validPca

protected

Definition at line 87 of file pca.h.

Referenced by doIt(), and valid().

_var

std::vector<float> AimsPCA::_var

protected

Definition at line 93 of file pca.h.

Referenced by doIt().

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The documentation for this class was generated from the following files:

• aims/math/pca.h
• aims/math/pca_d.h